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Autor
Vincek Zrinka Lacković (University of Zagreb, Croatia), Gregurec Iva (University of Zagreb, Croatia), Kovšca Vladimir (University of Zagreb, Croatia)
Tytuł
Exploring the Trend of the Research on Logistics 4.0
Źródło
LogForum, 2023, vol. 19, nr 3, s. 395-409, rys., tab., wykr., bibliogr. 33 poz.
Słowa kluczowe
Przemysł 4.0, Logistyka, Analiza bibliometryczna
Industry 4.0, Logistics, Bibliometric analysis
Uwagi
summ.
Abstrakt
Background: As a result of the Industry 4.0 revolution, the Logistics 4.0 concept emerged, changed the already adopted solutions in traditional logistics, and introduced new enabling technologies. As Logistics 4.0 is a relatively new term and considering the emerging literature on these topics, the goal of this study is to identify the main research areas, understand the current state of development, and recommend potential future directions. Methods: A bibliometric analysis of 181 scientific publications available in the Web of Science core collection database, dealing with the Logistics 4.0 research area and published between 2013 and early 2023 was performed. The analysis was carried out using VOSviewer software. Several bibliometric parameters were analyzed, such as year of publication, paper type, research area, distribution of articles by countries, language of publications, keyword and citation analysis, and most productive authors and organizations. Results: The results of the study show that in the period from 2013 until early 2023 there were 181 publications produced on Logistics 4.0, published mostly in English, by a total of 200 authors from 41 different countries. Additionally, it was revealed that the main research areas in the field of Logistics 4.0 include supply chain visibility and transparency, IoT applications, big data analytics, AI and ML algorithms, robotics and automation technologies, blockchain technologies, and sustainability in logistics. These research areas represent key focus areas in the context of advancing logistics operations and optimizing supply chain management. Conclusions: The results reinforce the main trends of the topic and provide an indication for future research. To the best of the authors' knowledge, this study is one of few attempts to investigate Logistics 4.0 research using a bibliometric analysis based on articles published in the past decade. (original abstract)
Pełny tekst
Pokaż
Bibliografia
Pokaż
  1. Agrawal, M., Eloot, K., Mancini, M., Patel, A. (2020). Industry 4.0: Reimagining manufacturing operations after COVID-19. McKinsey & Company, 1-11.
  2. Ahmed, S., Kalsoom, T., Ramzan, N., Pervez, Z., Azmat, M., Zeb, B., Ur Rehman, M. (2021). Towards supply chain visibility using internet of things: A dyadic analysis review. Sensors, 21(12), 4158. https://www.doi.org/10.3390/s21124158
  3. Ahmi, A., Mohd Nasir, M.H., 2019, Examining the trend of the research on extensible business reporting language (XBRL): A bibliometric review. International Journal of innovation, creativity and Change, 5 (2), 1145-1167.
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  5. Angreani, L. S., Vijaya, A., Wicaksono, H., 2020, Systematic literature review of industry 4.0 maturity model for manufacturing and logistics sectors. Procedia manufacturing, 52, 337-343. https://www.doi.org/10.1016/j.profmg.2020.11.056
  6. Ardito, L., Scuotto, V., Del Giudice, M., Petruzzelli, A.M., 2019, A bibliometric analysis of research on Big Data analytics for business and management. Management Decision, 57 (8), 1993-2009. https://www.doi.org/10.1108/MD-07-2018-0754
  7. Appio, F. P., Martini, A., Massa, S. Testa, S., 2016, Unveiling the intellectual origins of social media-based innovation: insights from a bibliometric approach. Scientometrics, 108, 355-388. https://www.doi.org/10.1007/s11192-016-1955-9
  8. Atzeni, G., Vignali, G., Tebaldi, L., Bottani, E., 2021, A bibliometric analysis on collaborative robots in Logistics 4.0 environments. Procedia Computer Science, 180, 686-695. https://www.doi.org/10.1016/j.procs.2021.01.291
  9. Bigliardi, B., Casella, G., Bottani, E., 2021, Industry 4.0 in the logistics field: A bibliometric analysis. IET Collaborative Intelligent Manufacturing, 3(1), 4-12. https://www.doi.org/10.1049/cim2.12015
  10. Chabot, T., Bouchard, F., Legault-Michaud, A., Renaud, J., Coelho, L.C, 2018, Service level, cost and environmental optimization of collaborative transportation. Transportation Research Part E: Logistics and Transportation Review, 110, 1-14.
  11. Facchini, F., Oleskow-Szlapka, J., Ranieri, L., Urbinati, A., 2020, A maturity model for Logistics 4.0: an empirical analysis and a roadmap for future research. Sustainability, 12 (1), 86. https://www.doi.org/10.3390/su12010086
  12. Dutta, P., Choi, T. M., Somani, S., Butala, R. (2020). Blockchain technology in supply chain operations: Applications, challenges and research opportunities. Transportation research part e: Logistics and transportation review, 142, 102067. https://www.doi.org/10.1016/j.tre.2020.102067
  13. Fahimnia, B., Sarkis, J., Davarzani, H, 2015, Green supply chain management: A review and bibliometric analysis. International Journal of Production Economics, 162, 101-114. https://www.doi.org/10.1016/j.ijpe.2015.01.003
  14. Garg, R., Kiwelekar, A. W., Netak, L. D., Ghodake, A. (2021). i-Pulse: A NLP based novel approach for employee engagement in logistics organization. International Journal of Information Management Data Insights, 1 (1), 100011. https://www.doi.org/10.1016/j.jjimei.2021.100011
  15. Hjørland, B., 2013, Citation analysis: A social and dynamic approach to knowledge organization. Information Processing & Management, 49 (6), 1313-1325. https://www.doi.org/10.1016/j.ijpm.2013.07.001
  16. Kern, J. (2021). The digital transformation of logistics: A review about technologies and their implementation status. The digital transformation of logistics: Demystifying impacts of the fourth industrial revolution, 361-403. https://www.doi.org/10.1002/9781119646495.ch25
  17. Kersten, W., Blecker, T., Ringle, C. M. (2019). Artificial intelligence and digital transformation in supply chain management: innovative approaches for supply chains. Berlin: epubli GmbH. https://www.doi.org/10.15480/882.2460
  18. Khan, S., Singh, R., Haleem, A., Dsilva, J., Ali, S.S., 2022, Exploration of critical success factors of logistics 4.0: a DEMATEL approach. Logistics, 6 (1), 13. https://www.doi.org/10.3390/logistics6010013
  19. Kodym, O., Kubáč, L., Kavka, L., 2020, Risks associated with Logistics 4.0 and their minimization using Blockchain. Open Engineering, 10 (1), 74-85. https://www.doi.org/10.1515/eng-2020-0017
  20. Lagorio, A., Zenezini, G., Mangano, G., Pinto, R., 2020, A systematic literature review of innovative technologies adopted in logistics management. International Journal of Logistics Research and Applications, 25(7), 1043-1066. https://www.doi.org/10.1080/13675567.2020.1850661
  21. Malagón-Suárez, C.P., Orjuela-Castro, J.A., 2023, Challenges and Trends in Logistics 4.0. Ingeniería, 28. https://www.doi.org/10.14483/23448393.18492
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  23. Oleśków-Szłapka, J., Stachowiak, A., 2019, The framework of logistics 4.0 maturity model. In Intelligent systems in production engineering and maintenance (pp. 771-781). Springer International Publishing.
  24. Raja Santhi, A., Muthuswamy, P. (2022). Influence of blockchain technology in manufacturing supply chain and logistics. Logistics, 6 (1), 15. https://www.doi.org/10.3390/logistics6010015
  25. Rejeb, A., Simske, S., Rejeb, K., Treiblmaier, H., Zailani, S., 2020, Internet of Things research in supply chain management and logistics: A bibliometric analysis. Internet of Things 12, 1-16. https://www.doi.org/10.1016/j.iot.2020.100318
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  27. Singh, V. K., Singh, P., Karmakar, M., Leta, J., Mayr, P., 2021, The journal coverage of Web of Science, Scopus and Dimensions: A comparative analysis, Scientometrics, 126, 5113-5142. https://www.doi.org/10.1007/s11192-021-03948-5
  28. Sweileh, W.M., Al-Jabi, S.W., AbuTaha, A.S., Zyoud, S.E.H., Anayah, F.M., Sawalha, A.F., 2017, 'Bibliometric analysis of worldwide scientific literature in mobile-health: 2006-2016', BMC medical informatics and decision making, 17, 1-12. https://www.doi.org/10.1186/s12911-017-0476-7
  29. Tang, C.S., Veelenturf, L.P., 2019, The strategic role of logistics in the industry 4.0 era. Transportation Research Part E: Logistics and Transportation Review, 129, 1-11. https://www.doi.org/10.1016/j.tre.2019.06.004
  30. Van Eck, N. J., Waltman, L., 2018, VOSviewer Manual-Manual for VOSviewer Version 1.6.7. Universiteit Leiden, no. February, p. 51.
  31. Werner-Lewandowska, K., Kosacka-Olejnik, M., 2019, Logistics 4.0 maturity in service industry: Empirical research results. Procedia Manufacturing, 38, 1058-1065. https://www.doi.org/10.1016/j.promfg.2020.01.192
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  33. Younis, H., Sundarakani, B., Alsharairi, M. (2022). Applications of artificial intelligence and machine learning within supply chains: systematic review and future research directions. Journal of Modelling in Management, 17(3), 916-940. https://www.doi.org/10.1108/JM2-12-2020-0322
Cytowane przez
Pokaż
ISSN
1895-2038
Język
eng
URI / DOI
http://dx.doi.org/10.17270/J.LOG.2023.859
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